• DocumentCode
    523227
  • Title

    A model for the kinematical analysis of a six degrees of freedom parallel robot

  • Author

    Ciupan, E.

  • Author_Institution
    Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • Volume
    1
  • fYear
    2010
  • fDate
    28-30 May 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper presents neural model for the kinematical analysis of six dof parallel robot. The modelling consists of two stages. The first stage is choosing a three-layer perceptron type neural network and it will be trained so that it will learn a set of training data well enough. The second stage means testing the model obtained through training, during the generalization phase. Both tasks was carried out using personal software.
  • Keywords
    learning (artificial intelligence); neural nets; robot kinematics; generalization phase; kinematical analysis; personal software; six degrees of freedom parallel robot; three-layer perceptron type neural network; Application software; Bars; Bismuth; Equations; Multilayer perceptrons; Neural networks; Parallel robots; Robot kinematics; Testing; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Quality and Testing Robotics (AQTR), 2010 IEEE International Conference on
  • Conference_Location
    Cluj-Napoca
  • Print_ISBN
    978-1-4244-6724-2
  • Type

    conf

  • DOI
    10.1109/AQTR.2010.5520875
  • Filename
    5520875
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=523227